Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible.
Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator.
As a Machine Learning Research Scientist, Interpretability, you'll work alongside our founders and team members to develop AI systems capable of processing and reasoning across multiple biological data modalities simultaneously.
- You will develop specialized methods for understanding our biological reasoning models, reverse-engineering how they represent and process complex biological information.
- You will design and conduct experiments to uncover interpretable features across biological scales.
- You will address unique challenges in biological model interpretation, such as disentangling the multi-scale, hierarchical representations of biological systems
- You will build biology-specific visualization tools that can map model activations to meaningful biological concepts.
Who We're Looking For:
- You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a relevant technical field.
- You have a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields.
- You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR).
- You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX).
Who You Are:
- You have excellent problem-solving skills and the ability to quickly adapt to new challenges.
- You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and taking pride in solving them.
- You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty.
- You have excellent communication skills and can clearly articulate complex technical concepts.
- You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity.
Bonus points:
- You have experience applying machine learning to biological or chemical problems.
- You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, cheminformatics, or related fields.
- You have experience with multi-modal learning.
- You have contributed to open-source machine learning projects/
- You have experience in developing efficient code in C/C++.
Our Values
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Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.
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Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.
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Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community.
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Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.
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Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling.
What We Offer
- We encourage new and different ideas, creativity and contrarian thinking.
- You own your day-to-day management. What we care about is that we all hit our milestones.
- Competitive salary and equity in a growing, well-funded startup
- Excellent medical, dental, and vision coverage
- Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
- We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!
Compensation Range: $120K - $250K
